Md Mubtasar Rahaman
School of Science, Engineering & Environment
Biography
Md Mubtasar Rahaman is a PhD Researcher in the School of Built Environment at the Â׸£ÀûƬ, where he is developing AI-driven frameworks to strengthen predictive decision-making in construction project management. His research is particularly concerned with the integration of real-time project data, project governance, and NEC-based contractual mechanisms in publicly funded construction projects, with the aim of enabling more proactive, transparent, and evidence-informed project delivery.
His work is positioned at the convergence of construction management, digital innovation, systems thinking, and AI-enabled governance. Through this interdisciplinary lens, he examines how intelligent, data-driven systems can move project management beyond retrospective monitoring towards anticipatory and decision-oriented practice. His wider academic interests include digital twins, construction informatics, project controls, contract intelligence, and Design Science Research.
Mubtasar brings more than 15 years of professional experience across the construction, infrastructure, and public sectors, both in the United Kingdom and internationally. He has worked across the United Kingdom, India, Saudi Arabia, Nigeria, Qatar, and the United Arab Emirates, gaining substantial exposure to diverse project environments, governance structures, and stakeholder settings. This breadth of international experience has given him a nuanced understanding of the operational and institutional complexities that shape project performance across different delivery contexts.
His professional background spans engineering, project delivery, stakeholder engagement, and governance across multidisciplinary and high-value projects. This extensive practice-based experience provides a strong empirical foundation for his doctoral research and informs his academic perspective on the persistent challenges of project uncertainty, coordination, and decision-making in complex construction environments.
He is a Chartered Engineer (CEng), a Fellow of the Association for Project Management (FAPM), and holds an MSc in Construction Management with Distinction. Alongside his doctoral research, he has also contributed to postgraduate teaching in areas including project planning, sustainability, and construction project management, reflecting his broader commitment to advancing both academic knowledge and professional practice within the built environment.
Areas of Research
My research interests lie at the intersection of Artificial Intelligence, digital construction, and project governance within the built environment. I am particularly interested in the application of AI-driven decision-support systems, predictive analytics, Natural Language Processing (NLP), BIM, Digital Twins, and real-time data integration to improve construction project performance and contractual governance. My current research focuses on developing integrated, contract-aware frameworks that support proactive and data-informed decision-making in publicly funded construction projects.
Qualifications
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PhD
2025 - 2029 -
Master of Science
2021 - 2022 -
B.Tech
2005 - 2009